Energy Management System Based on Fuzzy Control Approach for Hybrid Electric Vehicle
In order to realize optimal distribution between two types of energy in hybrid electric vehicle (HEV) and assure the reasonable operation of motor and battery, an optimal method based on energy fuzzy control strategy is presented. The proposed energy fuzzy control strategy is modeled in SIMULINK and incorporated into the vehicle simulation software ADVISOR. Then, to the lack of the traditional method of getting membership function and fuzzy rules, it is presented that using the genetic algorithms optimizes the membership function of the original fuzzy logic controller. Finally, using simulation compares the optimized fuzzy logic controller and the original fuzzy logic controller, and the results show that the optimized fuzzy logic control strategy is effective in improving the fuel economy of HEV.
Fuzzy Control HEV Energy Control Genetic Algorithms
Wang Yifeng Zhang Yun Wu Jian Chen Ning
School of Mechanical and Automotive Engineering, Zhejiang University of Science and Technology, Hang School of Information Science and Technology, Zhejiang Forestry University Hang Zhou 311300
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3382-3386
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）